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Found 1,413 Skills
Elite AI/ML Senior Engineer with 20+ years experience. Transforms Claude into a world-class AI researcher and engineer capable of building production-grade ML systems, LLMs, transformers, and computer vision solutions. Use when: (1) Building ML/DL models from scratch or fine-tuning, (2) Designing neural network architectures, (3) Implementing LLMs, transformers, attention mechanisms, (4) Computer vision tasks (object detection, segmentation, GANs), (5) NLP tasks (NER, sentiment, embeddings), (6) MLOps and production deployment, (7) Data preprocessing and feature engineering, (8) Model optimization and debugging, (9) Clean code review for ML projects, (10) Choosing optimal libraries and frameworks. Triggers: "ML", "AI", "deep learning", "neural network", "transformer", "LLM", "computer vision", "NLP", "TensorFlow", "PyTorch", "sklearn", "train model", "fine-tune", "embedding", "CNN", "RNN", "LSTM", "attention", "GPT", "BERT", "diffusion", "GAN", "object detection", "segmentation".
Receive and verify GitHub webhooks. Use when setting up GitHub webhook handlers, debugging signature verification, or handling repository events like push, pull_request, issues, or release.
Capture browser console logs and dev server output to files with agent-tail. Use when debugging runtime errors, checking console output, tailing or diagnosing logs, or setting up Vite/Next.js log capture.
ALWAYS use when writing code importing "@vue/test-utils". Consult for debugging, best practices, or modifying @vue/test-utils, vue/test-utils, vue test-utils, vue test utils, test-utils, test utils.
ALWAYS use when writing code importing "@formkit/core". Consult for debugging, best practices, or modifying @formkit/core, formkit/core, formkit core, formkit.
Fine-tune and serve Physical Intelligence OpenPI models (pi0, pi0-fast, pi0.5) using JAX or PyTorch backends for robot policy inference across ALOHA, DROID, and LIBERO environments. Use when adapting pi0 models to custom datasets, converting JAX checkpoints to PyTorch, running policy inference servers, or debugging norm stats and GPU memory issues.
Use when the user asks about the Alpic CLI (`alpic`) — deploying MCP servers, viewing logs, debugging deployments, managing environment variables, configuring the playground, connecting git, and publishing to the MCP Registry.
Deep linter reference for authoring or debugging a vigiles enforce() rule — plugin tables, AST selectors, type-aware rules, auto-fix, and edge cases for ESLint, Ruff, Pylint, RuboCop, and Stylelint. Use when you need the exact rule name or config for a specific linter, not for running a linter.
Use when building distributed apps with Aspire; orchestrating .NET, JavaScript, Python, or polyglot services; when environment variables or service discovery aren't working; when migrating from .NET Aspire 9 to 13+ or Community Toolkit; when seeing AddNpmApp deprecated errors; when OTEL not appearing in dashboard; when ports change on restart breaking OAuth; when configuring MCP server for AI assistants; when debugging Aspire apps and need to check resource status or logs
Receive and verify ElevenLabs webhooks. Use when setting up ElevenLabs webhook handlers, debugging signature verification, or handling call transcription events.
Testing expert with comprehensive knowledge of test structure, mocking strategies, async testing, coverage analysis, and cross-framework debugging. Use PROACTIVELY for test reliability, flaky test debugging, framework migration, and testing architecture decisions. Covers Jest, Vitest, Playwright, and Testing Library.
Use when implementing BGTaskScheduler, debugging background tasks that never run, understanding why tasks terminate early, or testing background execution - systematic task lifecycle management with proper registration, expiration handling, and Swift 6 cancellation patterns